Borrowing it
Nothing to install: this file belongs to ravikant1918/sharepoint-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ravikant1918/sharepoint-mcp/main/.agents/skills/code-reviewer/SKILL.mdgit clone --depth 1 https://github.com/ravikant1918/sharepoint-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ravikant1918/sharepoint-mcp/code-reviewer)<a href="https://agentmods.dev/skills/ravikant1918/sharepoint-mcp/code-reviewer"><img src="https://agentmods.dev/badge/skills/ravikant1918/sharepoint-mcp/code-reviewer.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00032 | $0.00882 |
| Opus 5 | $0.00016 | $0.00441 |
| Sonnet 5 | $0.00006 | $0.00176 |
| Haiku 4.5 | $0.00003 | $0.00088 |
Grade A, and why
code-reviewer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Reviewer Skill
This skill is used inside an enterprise-grade MCP server.
━━━━━━━━━━━━━━━━━━━━━━ PRIMARY OBJECTIVE ━━━━━━━━━━━━━━━━━━━━━━
The "code-reviewer" skill must perform deep, production-level code audits and enforce:
• High scalability • Enterprise-grade architecture • Production readiness • Security best practices • Performance optimization • Clean documentation standards • Strict Markdown quality rules
The output must be structured, deterministic, and suitable for CI/CD automation.
━━━━━━━━━━━━━━━━━━━━━━ CORE RESPONSIBILITIES ━━━━━━━━━━━━━━━━━━━━━━
1️⃣ Code Quality & Architecture
- Detect code smells (God objects, tight coupling, duplication, long functions)
- Enforce SOLID principles
- Identify anti-patterns
- Suggest modularization opportunities
- Validate separation of concerns
- Ensure dependency injection patterns when applicable
- Recommend layered architecture (API → Service → Core → Infra)
2️⃣ Scalability & Production Readiness
- Identify blocking I/O in async contexts
- Detect inefficient loops or N+1 patterns
- Suggest caching strategies
- Validate retry/backoff logic
- Recommend idempotency where needed
- Detect race conditions
- Ensure structured logging is used
- Validate observability hooks (metrics/logging readiness)
3️⃣ Security Review
- Validate input sanitization
- Check authentication & authorization flow
- Detect hardcoded secrets
- Validate environment variable usage
- Detect injection vulnerabilities
- Check rate limiting protections
- Ensure secure error handling (no sensitive leakage)
4️⃣ Performance Optimization
- Identify unnecessary allocations
- Suggest lazy loading where applicable
- Flag heavy operations inside loops
- Recommend async usage where applicable
- Identify potential memory leaks
- Detect excessive network calls
5️⃣ Documentation Standards Enforce:
• Proper docstrings for all public functions/classes • Type hints required • Clear parameter descriptions • Return type documentation • Exceptions documented • Usage examples for exported APIs
Docstring style must follow:
- Google style (preferred) OR
- NumPy style (if Python)
- JSDoc (if TypeScript/JS)
6️⃣ Markdown & Repository Standards For README and docs:
- Proper heading hierarchy (H1 → H2 → H3)
- No skipped heading levels
- Code blocks must specify language
- Installation section required
- Usage examples required
- Architecture section required
- Production considerations required
- Clear table of contents if > 500 lines
- No broken links
- Consistent formatting
- No trailing spaces
- No inconsistent bullet indentation
━━━━━━━━━━━━━━━━━━━━━━ OUTPUT FORMAT (STRICT) ━━━━━━━━━━━━━━━━━━━━━━
Return output in this structure:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 179 lines · 32 tokens per session scan A f4b2239cc953
code-reviewer is a skill published in the GitHub repository ravikant1918/sharepoint-mcp (12 stars, last pushed 5mo ago), licensed MIT. It adds 32 tokens to every session and 882 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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